thedixitjain Amazon FBA Product Research
This skill is the deeper, criteria-driven version of launchfast-product-research.
Core criteria
Evaluate every market against these baselines:
| Criteria | Threshold |
|---|---|
| Total niche revenue | > $200,000/month |
| Average price | >= $25, ideally >= $40 |
| Average reviews | <= 500 |
| Revenue per seller | >= $5,000/month |
| Top-seller dominance | top 2-3 sellers < 50% of revenue |
| Search volume | must exist |
| Estimated margin | >= 30% before ad costs |
Large-market exception:
- If niche revenue is above $1M, higher review counts can still be acceptable when multiple sellers under 200 reviews are doing strong revenue.
Workflow
1. Initial scan
Run:
research_products(keyword="<keyword>", focus="balanced", product_limit=20)
Extract:
- search volume
- average price
- average reviews
- opportunity score
- market grade
- brand concentration
- dominant brand
- total niche revenue
- average revenue per seller
- top-seller share
2. Financial trend check
Run:
research_products(keyword="<keyword>", focus="financial", product_limit=20)
Look for:
- growing vs stable vs declining products
- average MoM growth
- short-term momentum using 7d trend fields
3. Listing quality check
Run:
research_products(keyword="<keyword>", focus="titles", product_limit=10)
Look for:
- low listing quality scores with high revenue
- listing quality gaps
- weak copy or obvious differentiation openings
4. Keyword validation
Pick 2-3 relevant ASINs and run:
amazon_keyword_research(asins=["ASIN1", "ASIN2", "ASIN3"], limit=20)
Evaluate:
- keyword diversity
- CPC and sponsored density
- purchase rate
- obvious ranking gaps
5. Profitability estimate
Present a conservative estimate:
Selling Price
- Amazon Fees (~15%)
- Manufacturing
- Shipping
= Estimated Profit per Unit
= Estimated Margin %
If manufacturing cost is unknown, say so and state the assumption used.
Output format
Use a scorecard first:
## Market Scorecard: [keyword]
| Criteria | Threshold | Actual | Status |
|---|---|---|---|
Then include:
- market grade
- opportunity score
- trend summary
- verdict: VIABLE, MARGINAL, or NOT RECOMMENDED
- concise rationale
Rabbit-hole expansion
Use adjacent-niche exploration only when it is helpful:
- identify variations from the first result set
- rerun
research_productson the most promising adjacent keywords - keep the branching tight; do not explode the scope without user intent
Source: hashgraph-online/awesome-codex-plugins → plugins/BlockchainHB/launchfast_codex_plugin/skills/product-research/SKILL.md